Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana for Illinois
Ad copy
We're launching our first TV ad and the point is clear: Juliana is not backing down from Donald Trump. Juliana is a South Side Chicagoan who won’t bow to Trump's authoritarian politics. She’s running for Senate to fight back against Trump, abolish ICE, and demand accountability. Chip in $10 today and help us keep this message in front of voters.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.5/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 55.8 · 0.6 · 58.1 |
| Spend range | USD 400–499 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 35.96 |
| Est. audience size | — |
| Days live | 3 (2026-02-19 → 2026-02-22) |
| Created | 2026-02-19 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | immigration |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | diverse crowd |
| Symbols | none |
| Call to action | donate |
| Standout element | Censored expletive overlay reading '%#$^ TRUMP.' in bold street-style typography over a Black man in an urban Chicago setting |
| Tactic | The ad uses a provocative censored expletive directed at Trump to signal fearlessness and grassroots authenticity, pairing a community voice with a fundraising ask to monetize anti-Trump outrage. |
Where it ran (delivery by region)
| Illinois | 46.2% |
| California | 7.3% |
| New York | 4.1% |
| Florida | 2.9% |
| Texas | 2.8% |
| Michigan | 2.5% |
| Washington | 2.2% |
Who saw it (delivery)
| 18-24 · female | 1.1% |
| 45-54 · male | 5.7% |
| 65+ · male | 9.2% |
| 65+ · female | 17.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.6% |
| 55-64 · female | 12.6% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 11.6% |
| 18-24 · male | 1.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 7.2% |
| 35-44 · female | 12.1% |
| 25-34 · unknown | 0.5% |
| 25-34 · male | 5.8% |
| 25-34 · female | 6.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
